Hash-based Deduplication
Hash-Based Deduplication is a data deduplication method that identifies duplicate data segments by computing and comparing cryptographic hash values, distinguishing itself from other deduplication techniques through its reliance on hash functions to enable efficient content-based chunk comparison.
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1.5K
Citations
133
Authors
64
Institutions
Publications per year
2017–2026
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Private data deduplication protocols in cloud storage
Wee Keong Ng, Yonggang Wen, Huafei Zhu · 2012 · 148 citations
Primary data deduplication-large scale study and system design
Ahmed El-Shimi, Ran Kalach, Ankit Kumar et al. · 2012 · 139 citations
The design of a similarity based deduplication system
Lior Aronovich, Ron Asher, Eitan Bachmat et al. · 2009 · 110 citations
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64

Huazhong University of Science and Technology
Wuhan, China
4 h-index
18 publications
851 citations
Wuhan National Laboratory for Optoelectronics
Wuhan, China
3 h-index
6 publications
126 citations

Xidian University
Xi'an, China
3 h-index
7 publications
429 citations
Johannes Gutenberg University Mainz
Mainz, Germany
2 h-index
6 publications
552 citations
IBM Research - Almaden
San Jose, United States
2 h-index
4 publications
57 citations
IBM (United States)
Armonk, United States
2 h-index
6 publications
363 citations
The University of Texas at Arlington
Arlington, United States
2 h-index
2 publications
129 citations
Universität Hamburg
Hamburg, Germany
2 h-index
4 publications
368 citations
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TPDS · 2 publications · 95 citations
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1 publications · 12 citations
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Conference · 1 publications · 31 citations
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1 publications · 32 citations
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TOS · 1 publications · 96 citations
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